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#Classification
Two entries on this site carry the Classification tag: two papers, dated 2020.
Papers
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Catfedavg: Optimising communication-efficiency and classification accuracy in federated learning
Paper · 2020 · arXiv · cited by 4 We propose CatFedAvg, a novel approach to federated learning that optimizes both communication efficiency and classification accuracy. -
Fed-Focal Loss for imbalanced data classification in Federated Learning
Paper · 2020 · FL-IJCAI'20 · cited by 93 Federated Learning has emerged as a promising paradigm for training machine learning models while preserving data privacy. However, handling class imbalance in federated settings remains challenging.